Senior Software Engineer II, AI Platform
New
A
AledadeAI infrastructure
Remote, United StatesFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 6+ years experience as an engineer building full-stack web applications; 3+ years of experience working with SQL or other database querying language on large multi-table data sets; 3+ years of experience acting as a trusted technical decision-maker in a team setting; 3+ years of experience coaching other engineers.
- Required Skills
- AWSSQLKubernetesDistributed Systems
Requirements
- Hold a BS/BTech or higher in Computer Science, Engineering, or a related field.
- Have 6+ years of experience building full-stack web applications as part of a cross-functional team.
- Have 3+ years of experience working with SQL or another database querying language on large multi-table data sets.
- Have 3+ years of experience acting as a trusted technical decision-maker in a team setting.
- Have 3+ years of experience coaching other engineers.
- Bring experience building or operating production platform infrastructure, distributed systems, developer platforms, or high-availability shared services.
- Bring experience with LLM infrastructure, model gateways, foundation model APIs, or managed AI platforms such as AWS Bedrock, Azure OpenAI, or Google Vertex AI.
- Have experience with cloud infrastructure, preferably AWS, and technologies such as Kubernetes, containers, and infrastructure as code.
- Have experience designing observability and operational practices, including metrics, distributed tracing, logging, alerting, SLOs, dashboards, and failure handling.
- Have experience designing APIs and self-service platform capabilities for other engineering teams.
- Have experience with identity, access control, secrets management, security, and governance for shared infrastructure.
- Have experience with cost management, usage attribution, quotas, budgets, or capacity management for shared platforms.
Responsibilities
- Build and operate shared infrastructure that enables applications and AI agents to access foundation models securely and reliably.
- Develop platform capabilities for model access, including model gateways, cloud AI services, provider integrations, routing, and fallback.
- Build reusable and self-service capabilities for usage controls, observability, reliability, and model governance.
- Develop and implement scalable and performant solutions.
- Partner with Engineering Managers, Product Managers, and stakeholders to develop and execute technical roadmaps using Agile processes.
- Work with security, infrastructure, and teams building AI applications and agents.
- Make pragmatic technical decisions that account for architecture, scalability, failure modes, security, operations, cost, and developer experience.
- Mentor and coach more junior engineers and review their pull requests.
View Full Description & ApplyYou'll be redirected to the employer's site
